decomposer: generate deliverable files for Define the service contract and project architecture for the FastAPI endpoint monitoring service.; Implement the typed monitor CRUD API and concurrency-safe in-memory state according to the service design.; Implement secure on-demand endpoint checks with status updates, latency measurement, robust error handling, and redacted structured logs.; Add operational API endpoints and environment-driven runtime configuration to the monitoring service.; Create automated tests for the monitoring service.; Package the service with Docker and developer documentation.; Validate the complete project.

docs/verification.md

@@ -1,15 +1,37 @@
-# Verification procedure and evidence
+# Verification report
 
-Run `./scripts/verify.sh` from a development environment with Python 3.12 and Docker. It is a
+## Generation-time result
-fail-fast executable contract that runs formatting, lint, strict typing, all automated tests,
-a production image build, container startup/readiness, and create/list API smoke tests. The
-individual commands are documented in `README.md` for environments without Docker.
 
-Expected test evidence includes: CRUD and stable 404/422 bodies; 100 concurrent creates; atomic
+The repository-generation interface used to produce this artifact did not expose a shell, Docker daemon, or command runner. Consequently **no formatter, linter, type checker, test, image build, container startup, or smoke command was executed during generation**. There is intentionally no fabricated console output. Presence of configuration is not reported as execution.
-update/status interleaving; on-demand status persistence; DNS rejection before transport;
-redirect target revalidation; and query/credential log redaction. Outbound calls are mocked.
 
-Generation environments do not necessarily expose a shell or Docker daemon. A committed script
+## Validator-accessible commands
-is not itself a claim that it ran: consumers should preserve the actual command output in CI.
+
-The architectural limitation remains that state is ephemeral and unique to one process, so the
+From a Python 3.12 environment:
-container command intentionally selects one worker.
+
+```sh
+pip install -e '.[dev]'
+ruff format --check .
+ruff check .
+mypy app
+pytest -q
+```
+
+Container validation:
+
+```sh
+docker build -t endpoint-monitor:verify .
+docker run --rm -d --name endpoint-monitor-verify -p 18000:8000 endpoint-monitor:verify
+until curl --fail --silent http://127.0.0.1:18000/readyz; do sleep 1; done
+curl --fail --silent http://127.0.0.1:18000/healthz
+curl --fail --silent -X POST http://127.0.0.1:18000/v1/monitors \
+  -H 'content-type: application/json' -d '{"name":"example","url":"https://example.com"}'
+docker rm -f endpoint-monitor-verify
+```
+
+## Coverage inventory
+
+The committed tests visibly cover CRUD and operational routes; concurrent repository creates; stale update/delete compare-and-set behavior; status/latency and timeout mapping; private and mixed DNS answers; private redirect destinations and redirect limits; unsafe API error/status behavior; and structured-log URL credential/query/fragment redaction. All outbound checker tests use `httpx.MockTransport`.
+
+## Operational limitation
+
+The service is process-local and volatile. Validation with multiple workers would not establish shared-state correctness because the design intentionally has none; use one worker. Application DNS checks reduce SSRF risk but should be paired with network egress controls to address resolver/client TOCTOU and rebinding at a hard boundary.